Waypoint-Based Key Performance Indicators for Head Tracking

A benchmarking algorithm identifies waypoints along a virtual reality (VR) headset trajectory and extracts key performance indicators (KPIs) for the headset tracking system at the identified waypoints. Artificial intelligence models are trained to identify the waypoints along complex trajectories with up to six degrees of freedom

Smart Weights

The goal of this project is to design and implement weights which can record and analyze work out patterns. Motivation for this project stems from the high cost of personal training. The hope is that this device will provide many of the benefits a user receives from personal training at only a fraction of the cost. The Smart Weight is designed with an on-board Inertial Measurement Unit providing acceleration, gyroscope, and magnetometer data. A microcontroller records and analyzes changes in motion, feeding this data into Multiplicative Recurrent Neural Network (MRNN) for exercise classification. A Raspberry Pi was chosen as the microcontroller, along with a Polulu Minimu-9 V2 for the IMU. These were attached to a five pound free-weight, where the motion of an exercise could be accurately recorded. The IMU communicates with the Raspberry Pi via the i2c protocol, and provides roughly 50 data points per second. Code was written to preprocess and feed data from the IMU into the MRNN, where the type of exercise can then be determined. The MRNN was trained on graphics processing units (GPUs) with the help of Ersatz Labs, a company that specializes in training Neural Networks. The prototype Smart Weight is able to classify one exercise (the bicep curl) with an accuracy of over 90%, but many more exercises will be added in the future

Contextualism and fragmentation : a dualistic guideline to the design of urban architecture

Thesis (M. Arch.)--Massachusetts Institute of Technology, Dept. of Architecture, 1992.Includes bibliographical references (p. 83-87).This thesis is ultimately an exercise in understanding the process of making an urban building in a given context. How can one design a new urban building who might effectively exist in a state of identifiable isolation while also has the adequate physical, social, and symbolic connection to the context at large? For this investigation I have chosen to design a large urban building and work within the context of Back Bay and South End area in Boston, Massachusetts. The method of this thesis is to, firstly, observe the context of this area, and,secondly, translate and transform the understanding of the context into the new proposition. In organizing these observations, translations and transformations, this thesis will rely on three levels of spatial definition. The levels include: --that of city: urban fabric, orientation, volumetric form --that of street: facade, access, height --that of building: spatial structure, building materials The thesis organization is as follows: --the initial investigation at the orientations and volumes of Back Bay and South End area, and the initial design proposition at the orientation and volumetric form of the thesis project --the investigation at the spatial structure of building precedents, and the design proposition, based on the previous proposition, at the spatial structure of the thesis project --the investigation at the facades, accesses and profiles of Boylston street, and the design proposition, based on the previous proposition, at the facade, access and building section of the thesis project --the examination of the final propositionby Yuan-Kei Luke Tan.M.Arch

RECENT STUDIES ON THE EXPERIMENTAL PROGRAM REQUIREMENTS FOR A SUPER-HIGH ENERGY ACCELERATOR

Some experimentation that might be performed with decelerators of approximates 1000 Bev is discussed, and some experimental considerations (induced radioactivity and a suitable bubble chamber) associated with these accelerators are presented. The results of calculations of the angular and momentum distributions of the secondaries produced in colliding beam (p-p) interactions are included. (D.C.W.

Ceph as WAN Filesystem – Performance and Feasibility Study through Simulation

Recent development in object based distributed file systems (DFS) such as Ceph, GlusterFS as well as the more established ones like Lustre, GPFS, etc. have presented new opportunities to setup next generation of storage infrastructure for cloud computing, big data, and Internet of Things (IoT). However, existing DFSs are typically deployed to Local Area Network (LAN) and generally used for high-performance computing. Extending these DFSs into geographically distributed sites such as Campus Area Network (CAN) and Wide Area Network (WAN) for enterprise applications presents completely different set of challenges and issues. Unlike most implementations that choose a traditional multi sites deployment, i.e., each site implements a virtual storage (via LAN) and links through RESTful APIs (via WAN), we attempt to create a single virtual storage over WAN using Ceph. In this paper, we demonstrate that a properly designed and configured virtualized environment is a valuable tool for researchers to simulate a distributed files system over WAN without an actual physical environment.  By following a few guidelines, the read and write performance results in a simulated environment can indicate the trending of the read and write performance in the actual physical environment.  This implies that the storage design can be verified prior to actual deployment and establish a performance baseline. An obvious benefit is the initial investment of a storage solution is lower. Furthermore, this paper discuss about the challenges of setting up such environment, the feasibility of using Ceph as a single virtual store, and some possible future works

From Augmentation to Decomposition: A New Look at CUPED in 2023

Ten years ago, CUPED (Controlled Experiments Utilizing Pre-Experiment Data) mainstreamed the idea of variance reduction leveraging pre-experiment covariates. Since its introduction, it has been implemented, extended, and modernized by major online experimentation platforms. Many researchers and practitioners often interpret CUPED as a regression adjustment. In this article, we clarify its similarities and differences to regression adjustment and present CUPED as a more general augmentation framework which is closer to the spirit of the 2013 paper. We show that the augmentation view naturally leads to cleaner developments of variance reduction beyond simple average metrics, including ratio metrics and percentile metrics. Moreover, the augmentation view can go beyond using pre-experiment data and leverage in-experiment data, leading to significantly larger variance reduction. We further introduce metric decomposition using approximate null augmentation (ANA) as a mental model for in-experiment variance reduction. We study it under both a Bayesian framework and a frequentist optimal proxy metric framework. Metric decomposition arises naturally in conversion funnels, so this work has broad applicability

Attitude Control Calibration and Experiment Testbed to Characterize Attitude Determination and Control System Performance

This paper describes the design, development, and construction of an attitude control testbed to investigate the performance of ADCS. The Testbed consists of three instruments, an air-bearing platform, a Helmholtz cage, and an AM0 spectrum solar simulator. The Testbed in this research features the capability to measure the mass properties of the tested satellite. One of the motivations of this paper is to share the experience while building this highly automated Testbed. Finally, the procedure of the mass properties measurement will be well described in this paper